The Arc A370M is at least 2x slower gaming GPU than the GeForce RTX 2080 SUPER. We cannot compare value as at least one GPU is out of stock.
Advantages of the Arc A370M
- Consumes up to 86% less energy – 35 vs 250 Watts
Advantages of the GeForce RTX 2080 SUPER
- At least 2x faster GPU for gaming
- Up to 100% more VRAM memory – 8 vs 4 GB
Arc A370M vs GeForce RTX 2080 SUPER for Gaming
The GPU's performance in selected game and settings
All items are out of stock.
GeForce RTX 2080 SUPER
Jul 23rd, 2019
Average FPS
117
100%
Min 1% FPS
67
100%
Price, $
$1029
100%
Value, $/FPS
$8.79/FPS
100%
Buy on Amazon
$1,029.00
In Stock
Buy on Amazon
$1,399.00
In Stock
Buy on Amazon
$599.00
In Stock
Arc A370M vs GeForce RTX 2080 SUPER in My Games
The FPS you'll get in saved games, click on a game to change it
The FPS you'll get in saved games, click on a game to change it
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Synthetic Benchmarks
The Arc A370M vs GeForce RTX 2080 SUPER in synthetic GPU benchmarks
Performance Specifications
The Arc A370M vs GeForce RTX 2080 SUPER in core GPU performance specifications
Arc A370M
Mar 30th, 2022
Memory
4 GB
50%
Memory Bandwidth
112 GB/s
23%
Pixel Fillrate
65.6 GPixel/s
56%
Texture Fillrate
131.2 GTexel/s
38%
FP32
4.198 TFLOPS
38%
GeForce RTX 2080 SUPER
Jul 23rd, 2019
Memory
8 GB
100%
Memory Bandwidth
495.9 GB/s
100%
Pixel Fillrate
116.2 GPixel/s
100%
Texture Fillrate
348.5 GTexel/s
100%
FP32
11.15 TFLOPS
100%
Specifications
Comparison of all specifications
Arc A370M | SpecificationsComparison of all specifications | GeForce RTX 2080 SUPER |
|---|---|---|
| General | ||
Mar 30th, 2022 | Release Date | Jul 23rd, 2019 |
| Not Available | MSRP | $699.00 |
| Alchemist | Generation | GeForce 20 |
Laptop | Segment | Desktop |
35 W | Power Consumption | 250 W |
| Memory | ||
| 4 GB | Memory Size | 8 GB |
| GDDR6 | Memory Type | GDDR6 |
| 64-bit | Memory Bus | 256-bit |
| 112 GB/s | Bandwidth | 495.9 GB/s |
| Theoretical Performance | ||
| 65.6 GPixel/s | Pixel Fillrate | 116.2 GPixel/s |
| 131.2 GTexel/s | Texture Fillrate | 348.5 GTexel/s |
| 4.198 TFLOPS | FP32 | 11.15 TFLOPS |
